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<title>kubernetes 的资源配额控制器-阳明的博客|Kubernetes|Istio|Prometheus|Python|Golang|云原生</title>
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<meta name=description content="有很多团队在使用kubernetes的时候是将一个namespace当成一个租户的，所以对namespace的权限控制，资源控制就很重要了，你总是会担心你的某个租户使用的资源就超出了应有的配额。幸运的是kubernetes本身就为我们提供了解决这一问题的工具：资源配额控制器(ResourceQuotaController)

资源配额控制器确保了指定的资源对象始终不会超过配置的资源，能够有效的降低整个系统宕机的机率，增强系统的鲁棒性，对整个集群的稳定性有非常重要的作用。">
<meta property=og:description content="有很多团队在使用kubernetes的时候是将一个namespace当成一个租户的，所以对namespace的权限控制，资源控制就很重要了，你总是会担心你的某个租户使用的资源就超出了应有的配额。幸运的是kubernetes本身就为我们提供了解决这一问题的工具：资源配额控制器(ResourceQuotaController)

资源配额控制器确保了指定的资源对象始终不会超过配置的资源，能够有效的降低整个系统宕机的机率，增强系统的鲁棒性，对整个集群的稳定性有非常重要的作用。">
<meta name=twitter:description content="有很多团队在使用kubernetes的时候是将一个namespace当成一个租户的，所以对namespace的权限控制，资源控制就很重要了，你总是会担心你的某个租户使用的资源就超出了应有的配额。幸运的是kubernetes本身就为我们提供了解决这一问题的工具：资源配额控制器(ResourceQuotaController)

资源配额控制器确保了指定的资源对象始终不会超过配置的资源，能够有效的降低 …">
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YUSXZwqX/XDmFvm5IAfw3OgqXdvVnnmQmDlqOqH4VRSwx10KW7RafwWwPebOeRR0DrfOR21BtjwbQHDd7nhBpiGOnkbzbCoq4/L11TopKeF2P6GjBK1p/1csx+IxLIoVoAJ1caVnjMdgpmxwNSDNqUTJifZyuGDKZhAwZgmalhWCzwK2rXmsAunJTSveNmdqhxNUjf55Zs3UhgstfthSzM8IQnz6geDDTCmI9MExUYiu63QAuppKOwFKWgTp1KOFbC1LBp3yDLa2hv3xeCP1yOXpQSMfSofCQ73FpOhITVfVlXfkts3xY+EQJODKUtCQbFwdatOsHEWT4Poa1h4q5fuvtss+yYe8ZNd2KZAb2CeJLwjyCK3s6yRYL5AXi3qTNI5BK+5VY5aDpNEAO8uEsWipSumexEgMElGgsgLAxwMD36mXDyWlwsIAL7dY3O5hsIhJyI1Z3FDIKXZsCBHXt+ZgXDCFeYKaDoK6IlgcRzFHEBB0QniEIouEeEgs6lU0wM47gWYtp8fAxHQ8Bb9mnxMDGASggFky5kGg1OSu6jFi8gyUrm+EKxcPG5dREZgSArwwGRHQhEGqEiQUEohkk1Aki6hmjBgAqEBB5enMgTRcsYO/PAyQcAF9j4lPb7aNHZpmaVM3EQhDFYjK/z+1F/lO3wkQF0tPs5EV7xiTSDmfAuu8k3b0PnCsYpK1iPq8xEqyJLbnWGRXda1rfrY+8B/HXAkhQ8oX+cOs+52VMBWGJNtX7FNozmDKkGh9y7iviQJkLgg+U7VeYNP2zSjX/Ial1vCxJd1dDVLj0ut904cep4cLYCTt8CGflMPRUX1MzVGAYGDuH7sdnAzgCJ0swr2I9nXBsLfdBVLcW2ieDNrAwDhZGo7w2cWFrkA85jVstpPTASBd4p0LLs90WXUTr1fqHVQ1L98NyDAX7OOwgvAvdFux30SxIGotuNQbOXD6MtP3ozlStPf9xqrqd214I298Z5pA2xfJLfj0oTlGn5CQ9zD8qGRmybIxa50JUd6JAtE/QWlZzVw5pIWw3tBzANEHAgwhuRoGBDPzAHwKFXmSgSRsjCmPA4UaDAgcI9xKQ6SACV4TPEy6YYyxUEAQIGQ6BGS4YHaYyxMyMFfOsw0QjYuEIRIR6izklMgYaFFOYSFHLnVNQEZAwW9hPT8QeWIB99+CQAMoo9ul6qwgViCJQYH1A+DDrPui+piuaMojliTeAfwP22v09DNOxQBDu0/P0W+BoCQZtleYTLRFNh0IKhHFy0qnoiTMkEcHEEtaeIYzLBMvJCQjMp2QirI6TUO45QCKbQHZMlHHPQTLlCZZvhipQeIovUgKvDpio4Z7xeowSYjQJmgMZWmTDF0Agjl2JGlih4+HgwY2vOSiIOhqIgIfGgem4Un835l0Axu25+misrwTJhdqrW4AdQMAFIasDWHh+0+0TAMCNx4OBKE2uDIABUQhajMEaYxRzN5MFCwCChAxHoEHjMDOiIwbMvFt4CIQ1az8sot+gn4gR5KwTjEFiprEQhfjYD1Ibj0j6OOMrz0piTdFeOAyuRJlKzYXNkR6BA/ShBQCt6njJGXVk78ku63P54jnMcoA1QPpnzM+PD9ifCN4BfAJA/ukRgFQYAAVgw0gYUGBJrt9KKKwogCAKJgP+h6lk90jP9VGfvEehMSgT5aACVIPGo3a0B93B5nAiOOT//8fDE6UUb409a8NIlIbSH5IaNV1/sRWgDQDHBv6nPfGP/39+AJy/AnB+p8365z2cyM/NZ7+e7ny6BUAAKF1idwB5/P8x9HCT/XTjqUVWWOIrF1220kabzHbMAlstNWK+Vc445bRlLsEIQRCGhDyrF4wSBJRzI4+LMQUl1Sf2jp1gvTk2uGO1lxD2T5A2U/mlw8iUX3SJRYqVqv2UX2jUWlbeI+86a92yzjkHLfaFw750xG1XvXDNONudt811r9x01hRTPXXBFXM9M2y8HWaaYZblAsedvkHwQkUJn38bdNFV+qwQcQjx8IkJnCCi+zTlt614Mk3MkiSzSmFh4+TjkcYrT7YcudxKVCpTrlqFk6p0aNWmXa86o0jU2GLzaf7dIFhddYQLA/l9+LaCyH8A8X8AzB+g5wCgAKBVdyrMkFQJDaFcqE29ZitzIMb0sSq7d76QhYbED2URwFiRdfM1ZyC7Yjt1YoBgDuYQ8FqnugAVdaR3GWLJTKLVwDTIPJKyKFKNGo57sgE2ENwwsLqVwV2V7/mNTf526l4JQeXBsQJv2FssfMUH/HwbnbuCB7o2Rmzkes37mEd1MV/Pg7a2kI2ImpwKuHLnDGsCx1EdwEG6dL9TgUDTakOuUaGgzurm95LZahocFkMNhoA5urps1BhhArO7GB4dxvY52dKQMkzAHj7gtWqVq/DN+Ubr/HtgGqe9r3UFckcw8vTgSgsY/M0FUQnRQXhoeUlqK4iU0RZRoL4lX8W4f2/7EYR/bjWOMaXzYW2KvihG5fswJISGtmIYf5CLcBUMmDFCA/rzbOjXo4xgkZRo0+MRnX++gKgkEKAdSi33gKyKtASJXxKV/9+hcHiectwGCjAjbPdmntXf1hC3tSxWRSJAeAhed6FE5pxkNrwgx1i4av1JouT5ZNynFNqShLW4QR8RYCg4hACiiLV0NNEnqGHfTend0/WHGaXCLhxC+bS4ioB1ORChQ1BCzUPJbX0ATIjm8UgXSxwlwYKElBkBA+n4i5m9AcLTHzHZc5rwgCsYErNXJ7IvYBW2thP1EElQXBidxPJpgqwG/vWqpLCVP4XGIl0cLW2fSWcQeBP8yoMUyQHrONH/a7HLQA4uIP1jCVaIrhPQLrnLuX+7YpZRZgu4i1RkFevXTUYQ7Cb7DAdmZHAC6FGHUQrJMOq5dA7biTLNVMAAxFluHwZMds1WpGRBdU2inPJLLUqLntrUdW0qsyhRWGN8FGpwBWY2zmKddaq0Vr0dWXNihkJGVHcwL2pFaBFTK24rqXi+tVHyDf62ziV/fZSFZwLhTsE8gK0s2UnRFHPzJ84L0dazV7Xz4nbyhdoRo3DhT+FzR+ABdWGIIh5u9kOx9tOyVobBw1aKMOY/Cn+3co6Nu0dHyEnro8KD7u5MPOLFgE8SzNLPn3ZXUS5PFFcAu0uzxlYHhqLRqc99uokfoqC2jEG71Lt0pdkrXEKK11yoUg+JeJqAVS+jE8bYovprKkfknhhLXSBl0kSpEM6w1hwCclmccRdIqcgpZvQoq+bJ/Ip9uDsz1buiHqZFdU2uO3N0nI76ZsGToc+bqCqvR8rYuqjR5gD2e+IYo3VaJ48M0HtyGMjHbbCPksiQ+lLMEanC/Xxmd7HBhAfzREJ0q1XmImycTbdPElb72yDPVHUwgCnozmvY5jZblVMaCa8S1uDpnBx6GryOoj1xmgBZLJk3NtW7aFuL7hFFPk0j4bmJhTmBcJigTHsNObyfV7ark/3WszgAnwXUx3SyFLtV7CpzZLiWIg7yV1H1YShLqRwy44yfcCFs7W5kK/RMyH7WmlfGvfvoNDt+VjaomW7ysuUHT1VwoZZOcZxBLjWVamQZiROd0mEYH97Ku3iOSvJFWA/tHtuhOqCTqhTa9au9pdZ8Jg4aMsy7JELjAX4bWS7AbfBa1av7RfpT0axMay0KvSqVN6bgIa9F+9tzHe2nyAU3Ga11AQWPo8PQsGvI6ZgyHrzrPjBGFaNSKKlkl+3PNy6FPEmRnGL+e4nujuj+yMn19f6RnxXjvsUa1ocJCsAeTyC1jRUzCv+s2Bhcr11uKGJAp7R78nBQj1kyBFi+MybSkFUTLg3DmUPoFIMidIr2YbabAGDlq0f6kNUEVc6/D16osELJVkTNC9XR6uxUko/QtaHUxpKsVgcf+9Ugbyi34XboWNWN7NBZ3EyQTZGpwxyJmVGUUxep5gMjUu2m9pibxKIpLZfxubd90DBI4fWxnZA0d2H9H2io1NfyStFKjZUO12z3K7hi2BixnMIhHEpnx4HvokFNItZ5aPtSlxd7L8970HsE2O56PiB74Zrj2sn9W/HykneOauIMhMCZh9qOfhutANeNiC6bvVA+UyiACoUe15XEBMxZrI9II61Uy6vKzvWdpbsIfob7CbJKj7BsRCGS4Roh1eIsy7ZOMm3qdd8U7MTb1JT/rVVUV3RReUmVv9fv6XR4E412AVt5xumVvFMZXk3RQ3t+wD6VJufrXJyneHM0oNjn45fhlJyHgW2o2jPgfT2gJXf9zpgiklp39LjGyrzpkwlS1jan4E6iG/Auc/26a49krEgQFh2l6CtvwdzeEfH2f6zWNmkqECqJpVAdWf71V/YEQB/xYAo5FTXt1dRG64P5yeL8YYIIkGNVuY8ggL6d7VvIlMREWOigyCk6M8BbXKO2/dkK74qvRNYIBWdvK7p99+Rpip7JcpGUR4/Ku82jxv24YqSfcfS9TDi5Jw+J+5VgKgV7fGCKXaz3Ud5ZFu73xdXUE4AIOQYr6sr76gmRoRgBwmnDghayDOiLzRrOZb2Q07FNqk9qn4PSUEkkT7C1SaGGz6w3CX7YsGR93jngePC0ii0fIm5jb2H7nt8nfCtbKKyAQ67EVZyqz6GRdcSlbHmBScNG9ZWNvJ8AzzhI3ekmw8L6EUOVqVbdWAlzd6vih2LBIC/FpLxPb5PKW7f+KJLbuI+AB3UHCCtTJ1S5znmY3AdOuu9BdtV6ISksvF58Plimi64RYqQOf1p8ymWddhPsqXr3e3QaomMmIHgl+Hb1+1quq6Vuzm1uZ/ViX4Rtwdq8xxUmH0oBfLRW+XaqXcBj2o2CmQ2AKYec2a2CP70ZObLadpUvqqw2uUnScJRL3Lftp5rr635VJgYq5aoIelyb2A2MTE5UPBPSBKui0WgKPx2rJ+9Md3K/vwD8xYjsp50N5GuZKWJUFVKvR/4qf5LfwkuR82oMsx1QzkWBaYPG+9VA4xL0KmcigN6VuxfEZ4j/pBWIdtcAU0ngnyQk5Kku6aCHk28k3vveehm+sZKQ/tBbKWFMXgOrjS+zJfBkvnw/z0NyzCgQazsziFP2s7JuSm2F9tJk1dJD+Iw2lkveAUxLnrYfOZtT2relIbw9Zy/zupBbEO/ZmKRBJDi8uPA4Ks94nwqspPcdLrUUXcVO+5i4O9/A6Xey8mbhS/RFAh+0X9fy33GEGhbUfkI51+mxdhcBY2Wsw751TgkNfiWtjD16m1dXGyv97ju0oSBRY0YpBkeccpc+oaayW5VTnnoTMEjgVuZNUo+v5TqLhdRHl4CAVgOkV7GhSolUSjL5jUM2LLHqqyroIuArhldB4mHPsTGFnM66ONTHumvfkMT6Dq6jTFo0AFbhs+tXt704mdmPPeKcuJ6Qa9X6zFtYeAO04QKoVugjmD/K72rxPOR9PGZT/+3tvsMZ7YjdPiz0pvkdJhLEul5QVnSPxNH3enlob2j0TLsJJapO902qfbhw1654Q2VohyyCwFmFIjD/ZoABnZ7j8KmwVIKCaa/eLQrf/ANJnN0uVpT8CX/lv95gQGt9YXButhkMejvO0c7tnRyydNNLqKjaxJux3hu3NwTPun0+rja6POgopL3gumK+GE+ZKsJ9e9PuwTMX6aVikLZrbuLxAWl3GZX/n2Ey2RlC6acX6Nj1ygdu8ZoBN86GIRnCJwnNAkav0B5d53a52Mq/p4NxKMKrLuzDpWVanGg04KoS1WSnsl85mVVpdImKH6rPExohSBYXqBxn1fVr1Qdg2Zj5FcZHhom1+FQm6jS1aAWo4hT9hBWbaAa/JrY3Ca1By5Lmf1cA4V+6gR1lE9Z/p+SUX1QeYW3f/BtN/MuNn+Cda6I1j7EW9U2VAdrlh3YIOYGaaP5ll9RzU8rKueUpUULfjC2lyn6spzaPHbO8ORcmvvdWtKeCv17p17VJfcr75FfnzGPtnZITUklI3+3VvLreiE4Ys3wo55ntxakW/NfsSn7YXvzvVqYvIxrj49lPZy2ummM1AGOPiYv/9hTFeQftjolEon2hVqUoarv+AeY/oavjgzDj3gA1ro+eOQyJrjTZBICzsHRq61noQXyfcCetHqcxXNlx6A1/cS9AHL6PVtFn48DcDXrVsMZpT7PiHpOsaw59FOqZFliNcBo7YTrie34wMs+Kc30md2R0A5WFd+swaFR5EF8UHA2m5Oeq3FnOCFgeVllpLR+ub8kJmbZG607U75WSp73mr0iyPF9nssebU40Gw9z1ehWIIq4ozV1XXZ6xY1Vzu6gkug6afN9ZYjbOhLYSf9yEtDzVZ6Ueq3mcZenflqJVdh8Aj52ZwtjQH0LwDb2zozt94T1VyXNzy9N1neJiSVxkRdZZ+crJZR4p4y1T/zZ/xv5gDtw4Jox9jyP1pjRy30Y/ORzQv6MqZ1V+Qca6XY2TmWPcpamyUc6l4+d1ck5qJhhV5rA1J6Lo0dZ+9UmwpgikF883fMUGbQVTUkvdo46d3857rl29Im05XDR3uOfvCDcongYKvsOC7af4BrvqCYi7a3jaO8LMfAY/mHxxIJS4tDRjTW25f8fK5nZpS3QelL0IGdW5bmAtfvwOf9a6vhrNCl1ZalTNo8714a1Dh+/w19CoFyXJjtA4V4KV+ejKyHk2/S/qP9f9IO1YF4EsfJFZhQl9PgGCpnR2zo4NiyJXLvov9vTTKnHZjGYWqz+WXoKyxscuHD/kWbvqx0fyX4FsYlainDvIRXF44kKjIEiWHuSR8Wc1DDXE9PPjUrd3oiI7BWa+G/L9al3rEaaVL4N5E+vmpjZMtC5fY7aXV825/fuXvCWzOnd61fAeS1aGDfcLGZCSX4r6Q80QKUrjgAPJaYgTr/cmbgC6SVjV14snvmWXNkBT5IMdy1d+o8c/+hgQNsCpuyVRyi9tzkDgbTK2AgevcEsBbvacRxDqvFILXXDApk/z461STVj8BUyyiDzIX2/YuFwQQFzR6NpYVpi+eaSlo3tlS9rmwvz0LSOtHR53Zia33z67enOVNTubO+hwCmcUlTlBi9JUZVFbVheKLz/bxoiv8asSaw8kLE3XejXf50mNymNvzU9XhDqqzvO8JSOL22dvY6T9vXO3CUSFrijJGamu9O5Y2zLWfn1nMYbY9WsfVQLWbEgWC8cA+YpeuJkD69PXhpMybEV+6YS06eNWdUD6UykWDoOlLe2mlPpBSzFSAQpMqg86nzjX7snwLxzm/qt6YaXlYJGOzfjYPWzkOt+7fCihBIY/p7MydRH9T72u1JwshT4hMpMIjjwULLrQ03B0iahnSZNjYylKRSvOpEM9tbbNFQMVB6yXel9G26S8iMxMHmDr2rKgMEOQF3IqWFjZ5ihoyqNBStYZuSPqPLBuDKHnpI6eArXNMScX5rvd/uwcnSYlXr0dAYKJJSNpEr63EjKr89xam16IXm38olXa014sj8trMGVLS2lvodH/3dMzXpDriDMr+bLUhHxujXCgIT8hpbhb7QX7Q7jIz+RrUnzpVuyLMtwLa7o5Y67yrk2PKHw88Io4cdOcD8hUzb10r0/knS3pec1NAbUjvq2Xa+evDYsXTgCFEbEWRpZPaLVAGamr+MVhRrkdKqal3SDb+VA95HthZZNc56OyQFkU3RZtvXXR3iG00OyEV9RI7xZovFKiKups/5pcCfnTDDf+myH+NqoUrosq7K39j5gWlAKDzRGWzlH5gGP5fK2le/may9/wI3xKazKdJMzvgGkNhMUwYsj3yhpp1Y0qn3j4l/bLSJBPajXSwlprhmD+GCUH7o/1PQGXEj7f+V9wvq0lIT6h9X01OWJ/Wh9PYJsCBR2eCSWaWqalwHuBr6085rkJf3YaVUicR6FHcl5qHYHbsGttLr8Vd+ffNNZ+rT8Afo5ZY3Uert27GFBHdHviC9YXdWG1xXbZ4aM0Gg5lUhjC8RVo/FfHwXqlAUG9R+kkeDW/uTKyY6NXIY4NpoF6oucrsOHmUS9+x1YvvxJLpaAMAYOfVsoxdVCy4VEXP/5dplLTBnJjcMXaKjvHxf3tK4WjVZNUlZy9upabsKskODfWGdR+7q/179UJG/0KYWwCDQQQ/THP4eVEXbzMgXhTfOGX9fyznsSiJHWXNzO+v9Xlkbi1zdkebb0u+tzt71SXUXCD2J5o6UpPswyM8qQl5fGP8VhpKDswmnpgwkCUJrkkN9eyFBb5xOueqOydGjPYSbS0/IykgQ5XqjDcqjQgAi8ia6Z/Px/zwZ1Z3qKv7so2j4t6p2/OdGsb9OAUsc4U3+G3asbUpaXq6XCRI49ich4MyikKdacGXlFbF8wrTWl7NCVDO6EhzavMMRRkOhQtqjhdtTPLUC4BV4jt5qTRGc7kcZ2pqZVDnWCyC1dgrfVw07m/XcwZu7CwBOlIl8q6gcQsKFQEuUF2KqO3tqXMcptHpzDpv0SHUkYTO5LGd/jaEADUBoTvDQHDYU2pJu6ViKY4FvMnJjyp9eqMyYV1ahPTEtbOTbHL2Com9SyL9FZxenn4l0yLwJhSVK9O2JOJpzwLi2hzY/oDJjiy9FnpE8UO7U2ZLc4kzRYJ4hxKY1y6MH6mmRoVyXKy3EhHxNyIDz/gIoXuuCRAM8dOrkZXKPWLcwGF53JRVpGvHvQMKw0f2N5Ai6BQAWZZWyW0KOJLPM9uAFiQd4zDucFCd3O5s9gzyYJUxSaFQVuU6hyEACAy/+vzYOUi2FqyeslG/Myt656+46/BmB+PsrwxdCmKxsdO+zEllh67K65RhHMmR/NlIXTXDXLoQmYMiMHFsudhJWnI0Vc9/xnumV4GaFlhc76CDhsuKF1ZL0dBs/eF+ZNVsivFCX+/FG/NX90bY+lm3pdn8TZW2MDIhBcrM3W2622JO0MqJAX51sfkx50gJeVzhdkZ5R0L1Jf/rwWNkS8L6xHI5k4xQDwLsXBNcSuS1UrZZH+gH+heaOrVz+WgzGJffe+wNzUva/lkKgqrukPsTrJ0+zJt/V0Oh7tzXPgef3by+A5bqtEprfXlqfr1BlW9N1833giqtdkWYUWi2HLjHep0q0STwRZWJgh/VyTqTAWuf5d/bBNmKOvTjMMruqW1PnUjXPZuJ9fF2TL7BcGIwStKKBvoBhNTcZmOFm8fnKy2RHQAvskTqmuce7MUk4yez8I2MqYjXRrbA5hHBYWKzXEGZ4rHSZLDu+7Eli5QIZW9ZHsDhk1HaaLX+duqxU1RAFGyLqeVnUXOPqcQpe9dkUC3cKoCzIRT/JLjd7o8zPufL8YHufP0JSB+tt0Xz3yvPouu0dX5vJp2w1KcNSaLitiKvYJgcUwsJ7pRQY83r16v9zbxiphJroBxXsx2iy8vOYU+jRaxJCXnj/8nC7HInSNPZtjC2yHBu9cyKTVBTy+MpR9SZuhzGEXpFrXansVRgj8s57MPKnO6IzGJNo4S+/z3nI8jGkNy9j+gMtbgzmuyqw0fBF6CRVCoCHbBbA9++uzu3uI1NSujZfNCa7H07QcyYwuyrZ7a9DSQRTwB39mz0Sljx3lA36BvAAG/XkxUbv9Hbi8VxIERore+t1tyfHWD2srgR6dFnukX7j3RFju3x7Jhup0rBfb8QzO0OIv3ezMJjViefQ26r95VwNvWpJtfS2zyweR84MrfNVdV6X1nrhDjC9ljbzVD6uEv3H+1pkc2kMwwUSwYqL83CCfR/zTreM2dnib7nfcRbrid06bfUA0GhYymvOrKLs7DnrXer80dRKLrLizV3P4JYrx7zKO/sGZ2D4vOh3t/NJPCCcgxeH/s9R5427sJtIQl8ehuOuVadBAWRsrLI2yrEufREm56/zQv5IQvqnwGo6wbmaVkhwFO8u4zn1sG+moYBarKE3GA43ojH1oGh+E7jnVscuiJRSlP5e0EOBPZI7LOTA47vXuMX1T8f38Y5aJIKiGAQSfF4KXTN0hS5bkeWnaedkGtvrQtCT3M/5XCcAEL4HBP0T4xYl9jd3nsxoAtMZHbLumzCuYjtghSFT9GXBXIdxLcq8JtQm6bWKBtMrmx0uivM/B5eY0R4UNU6jZKdNJfwr6JoJMTjq9JfH2RTJVJ4UU/zZg6VfniYWTINSLoac4r82Tk16WmZpf70/OqUs9v0U/SRV8wJMfY6OBr4rgmw4bigpRtA60FxWObjRuLCpK2jm8tcDrViwbmqbY6baal/VM1e3wg/ZSlwLwWc8LrTYkis/ga4jZFYJZUJznlTktym8Eg8Whizu9dtjKUEo0yTSxU665SW+Nr+Sk5Vh7XU16b7xIZPM7TWEux0By47nNwgFgpUVj5aDML/YYWMmbsPD4jyeJOSLLn+gFJ7V4TYU11xuuuKGO+HBo7PoQSjLJELFTpKlNaa8fklDB+sWrjYTGprMZWs6B9DLgY2z8S6biyvC+TjlYVVYXb9IjEx3D9BDc/3gzAYWKpiMlmtaDoeRp1bTmWatRnx+8cQ3v/oRXjwwhThSkBa024fY32UEZGS6KuNtnjbuzV2cAqYvvODV7FgbFTGxKyhP0oI5rB+Y2Gb2gYTyQ7kpYhtdgsDr+utq8pJaWxPcmhdYjSEvcUsWofFypXasF24l5aMEbALq3/5Dt4E5orhCkBW7cVGzpTrkn3/EAblMaCN8R6tsOXrPPVlMF78RVxybbceolBVyY0eXUKR24oXFg0umRWeaP5msSGZxlEEodQkOy+Reyok4gTM+zsVmEmW35VAdYSCz1GhpfBuRsdPDa/mUhx2RZim6L8XH5dw2CjNbGhxeQa7D24ctmodysSS3Mft8qn6qVx6UYbv0UPUrIySOjb1/p5ZVwLK3IPS7YfxBXEmAcJ9xKNCrxJV1sZGL6LljGLSvn3qSQ+Xavn/Z761cLLl052jIM3fqEocaOoYIh76Z9o6kkqrYQcVFN7DKXzmOxhIUmPct7GMEaiCQJ7TVUgqY1GPUwlP3oiS/ToNPT9v8NvfxMbch1+MD+rgoSGLgbxd/7jYtYYEgJiePdRRMHC3lwIyg9tt2mPbgItemqU/6BDkXekkhcs2sslOfvcmtgsmUurdclis5zqfieJv1YUHPV93ZMcl2aCn0zxPyTSN2ykZcbmDm2kEx+CrMCVbPQogzULZbegYP5Vt1jikkpl1BK3WCpNVYYPSr+CgHfExC8JmEhgdLDR6Wzp93KVvPM8MHZw6nkCPZe3wo55vRN9K8rHKODSsk1RBetVZ7YspTdJD9VKDu0crUZ8aDOMzN8kP7NZWWSDcGuTaOt2Aap8yJ3j2Kk4A3KJQfyGXDjA5kb/Ej5F6NJqGhXU+TumzgilEJgcCsrT28qk8e21RXajM/dFGy88LCUq7OPL5lRKxJl/v5fkcmXQ84zh57IViC83hK+mXEB7zHl1vcjE3X8BNKvqMLX1sb+HNYbdo2CsBDdHO8VAdVGN3RqON9hAbWyv6aa7OnhdWjW5OJoaEOoqKfIEIP7AsjqcT9mGGkdzTrroIPmD2XUMAbayM4jLBoJ/+Nl4iLI3Pp6y3XjwZ3Vl3UrbuYYG25X6dWagaX/T+BqB63LjpRJ1e0dj+5+IRlhH3sOvvv0pkEDDk7d2VW+BlVvubTlJ3XoOBBz8Hh58OkwgUMLI4JWiWCsE47P7ighdk5usmu4y3xPQWQjaUwMzverR4NyD5ByjZbfBcDvB7jIxD+t1jxkuY6L9pil+h8niMv39ZT79S//+og3NUgrYLi4XdQlUrEwewBEcIZ3v1l4wS2hWUa5Lu1mGFlKX1Ii7u4pSizuasWPLwMR/gpbf8aE5niy7NF3AOnT38d8FhsT8xIzqxiICmFkMionbpzDa60G43w2Y2MCicF9uuCdv7FR3kSSX2gCDfdRHVpDq9ttBemNbRJ4fyD1igCehMUDleQzImQ053mcHP5h9xN00BixtWUaSHvWDbNNetcfYWmE0xqcJRHRWPMoKJLOwu1CVLF1vCk0f8c1CFCQB20aB7WL68WPR7hCCL8aCeBPKdAyX4e2eyS9jwVvL0JehxFZfm7rNpxp/5G096YNPYH3fTSad9fb5TiLdfK+mdsEfO4fQMT6vOmRPrQbaatDmRjDeHb1G+hJ/9oos34HbYdtB+Xawv3r/LlCy+2g1SB59CjScgiDym9WrnO7VK0dW+j0rR7Kz09Otu9WuWbfJ6wHJp0+B0lOw8BSUf58DAb745Pkm/VSon9IMXkXuAhW7wLyaebtLd4GlNbu4JzElp0DWhajTJxXRPBd1VOwYvgB7Zp4iJrF9FMYJNgbXwaqTyK0CkB3WsKI/Uf6IJ8EO9YNaSh+JZAmWWqVc1hdj4M5PaKqoIEfUT6uXsB9xwDZ7rlaar1HFFeeZ4k3Zemm+QqcqzjVoammm1W6LZblz4y8SFcvP4TDtAhXDx5+44clYqyqpZac/CVgS8w4mYFetqchcU1lYsGdzV1f9wuK0hTn+hJZCXZxkJIEYOMeewI1LdLttujH1aW7qX3/2pD9QRIdH8p5GFogLbQO9Fk/2xBL30ryqjJlT3dnmSbpbRW0LUnIYH9Wl7Cmi15mI0hpTpeTyieA8sUVoy0625DXYaWQ0Jwyk1RfkafwSqUsSn1H9Or++TgFtTNG8teYtaaEL4BaekftjgYdjbQ6e80dXIz9FcVmYw+UnMhnlEibq7y9pTKaX5lo8CynmWJvTnQI2zx3rdNhTC3wpPMA93A64o0oBpJZ2gLuvsgX/sZk0OhMXRVvb3kWV/sKOc1p+xVgl3lKbUJRh6XRLxHkFJptuKc36RI7e3W79P9I3AHRaf+WbxZ4yq0CcyUlOQiXi/KIEe98gD920NfRSxVO2LM3hkpoJINN5uLH+0KjO5qNH23tHfdVef7Sro+Xw4dbOeuPSsqy1lZU565ZV1FavqMhbX1GZs3ZlWX1Kc4s5qc2epOlu8KRyV68LpHp32+rvSrkr2H6VnOu1y+Q8B3/fP193abVv+xbhwm6UsiXm3zgFW3sEHJ+h1LlWb4hcu61naYasceIKoaWPJ7ATTlDM2otPf1DK1BkcCh8dvS4cbPK/+9WlYlBumUKILJiILBAq2knsf1DyC8OxM0c6o9M6UGIIwIKKUENFuNkwR5kRjmJvCOQn9csqXz+LhUpye+F3IwqA+4wSePW3sCJCaTigrFARsd1YxNxr9YOe6QVFTpks1SOWefILnXEyt0ci4zjP8PlnOJwDfP4BDkj8fTqwB04G1t87MUNNCK4TM9gElk6EDy5O0kQUqijTgOyvfFGbfEYUiJzEeLbauuBZ7NtpEHrahK+KIK0ix4Qd2dbWqwSk9ay23m1HwmLIq0gRVfhZHkD8WHowZ8flRVGnFv0M3v6cnpLMbzrB1qQniwNbbrBzy1jiPnJUN8rfRgYMbootTS+k+lqap5GiXj+eQ3W4DHxyYkna4wjKF7FAWpo5Y82H8Ii/STTiL4fGNALZtW/dsTGhfxPw+b3pzAEv3Q8PLgsDXZykGcl5IeDecjhYuXrbRvzqretAVX4zi9UXSy9h/QfY/sEBnCOHfyLS2D9Ehn9cnTnjAZDdopfEYsBidROPy8aWsRTOeAM3qpQRJ6KgZRE3DFRWeSRg9/9jNXEoj4K/rSeG/3l+pskSz478Pj7IFTqrR9RTIB0GwOOB74BD5sMIxqP0UQ96P6Me9EHsf9DHCbQnPojU8jARIHjIJpMQXiahrSGaqIsBQcyIr7HR0USZi5JlLhqUucgpc61vQHvipKkQUIqsQkOyCrlkFXqrmXwQFRJj6uld+/rPZx7EiznrS/vM13uhN8KBOPWZUyL1atpTc6gq2ipOtew4yC9R1o6eju3opSiGqW9M0kpR0eziUrEpKFi25ZwvxRuj1uKLNha3iGOgYDl1kF9qPe5oeahHFR3AsDvDdPOOv48psflZM0ydFlPlqfKXsDtmM5KHcze8tM249VKBMX41CyCjVIQBMGco6QAhFvldPh0CIZbFh4eOdAtafYC8rc3a6EDbNsT6mOjo3hSifGeorSUzfUf8FPPYFePoxYIzXuACL+nGe03yNRbEV0rK6VZR2wWK095Kol3zMQKSCMi2dDwxIKAlEp1JYXsDFXfRO+7axv3KrPXPkBM/V5gThS8PRYTcuIeBpC88me4PMiANALCAPs/OO/lyvoMm+Wd8iBp2KMiXcw5CtexDZpvK/a0vZ9zcfdenFOTL+Q5KfEgMfy5UyJcrDwoTA+gT7pq57/KPCSsm7pz+AnLsou9hPf/yp2KhgP9vUVHM+2aYPAIOIGuiXS/6XjhKVaGYSCDNpDBAhCwqi4k+MLkd7v9zuUIBkI0PegXgucRzTiCPtkrW9SMaD2eSRTb6QzPJV+R4YhHBmaumeh3uoTyQHSPd/QNYBWye4bQ9MCdHE6ysp0PU/pKLlYjcdymsmGwdWWoadg5kFji5wwRF1nHW4Svi4nTj+rSTuZssyVwJkFVxeZ6R4e33TTa7TAQBdOLv1/3D4nJi4n/fQHMFwNmE5w9x5qc+663cxzr/2zsoEAIAAnzRbZXXtOHYl4Yh9OfXRYZjAiBtAH2HvTlNZXuLLqLuHtzux+vvqJenzGwHNSTc/wd4I6TOJIgGeTw7p8E8sstLcG9zhWJwKB8yhBsCd3EHC6+DPIzlyIBdH+080k5H6h/EyInOCCpfhOaOsJyHWZ5X/UQlwCw4CIwm7T8NgLUk50DLxG4MMkF1OvkPNw69rSLiwgHACrI8acFuaZbIGEXMUpz2wcOkx6qeMTAK0UL4ak+C5jlO3hAOBmZWCW8TojileAGlQFBmIlcIt9yjwu0KzK6vykRxZtytRR9pFgvIKMIqcctFyESyppDnLmI2MtZMGgpyRpOmFS9r8XN78cQiTzDkUeKVTNrDor0kzgCWP9D4C9ngkAVB7yfyqcf3HVl+h5+fiOIkdYQkIaj9ImPW4lvfsS+ch8AYleyGkYtWGl/aaavxyH2a8PFPoty8jBMZz84psmzuJSuQPXO6xf86a4G5vPp1muql1Es9YpIm7c/oLWhGL2wYolqkVCku0ey7LpRcxxJWRlc6ZR3n81Mjp0wlnmiKjqA2ibh8sllADufi5LHEAHowJPkDWzFIDFtcLi+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<a href=https://www.qikqiak.com/tags/kubernetes/>kubernetes</a> &nbsp;
<a href=https://www.qikqiak.com/tags/resource/>resource</a> &nbsp;
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<p>有很多团队在使用<code>kubernetes</code>的时候是将一个<code>namespace</code>当成一个租户的，所以对<code>namespace</code>的权限控制，资源控制就很重要了，你总是会担心你的某个租户使用的资源就超出了应有的配额。幸运的是<code>kubernetes</code>本身就为我们提供了解决这一问题的工具：资源配额控制器(<code>ResourceQuotaController</code>)</p>
<p>资源配额控制器确保了指定的资源对象始终不会超过配置的资源，能够有效的降低整个系统宕机的机率，增强系统的鲁棒性，对整个集群的稳定性有非常重要的作用。</p>
<h2 id=介绍>介绍</h2>
<p><code>kubernetes</code>主要有3个层级的资源配额控制：</p>
<ul>
<li>容器：可以对 CPU 和 Memory 进行限制</li>
<li>POD：可以对一个 POD 内所有容器的的资源进行限制</li>
<li>Namespace：为一个命名空间下的资源进行限制</li>
</ul>
<p>其中容器层次主要利用容器本身的支持，比如 Docker 对 CPU、内存等的支持；POD 方面可以限制系统内创建 POD 的资源范围，比如最大或者最小的 CPU、memory 需求；Namespace 层次就是对用户级别的资源限额了，包括 CPU、内存，还可以限定 POD、RC、Service 的数量。</p>
<p>要使用资源配额的话需要确保<code>apiserver</code>的<code>--admission-control</code>参数中包含<code>ResourceQuota</code>，当 namespace 中存在一个 <code>ResourceQuota</code>对象时，该 namespace 即开始实施资源配额的管理工作了，另外需要注意的是一个 namespace 中最多只应存在一个 ResourceQuota 对象。</p>
<p><code>ResourceQuotaController</code>支持的配额控制资源主要包括：计算资源配额、存储资源配额、对象数量资源配额以及配额作用域，下面我们来分别看看这些资源的具体信息：</p>
<h3 id=计算资源配额>计算资源配额</h3>
<p>用户可以对给定 namespace 下的<strong>计算资源</strong>总量进行限制，<code>ResourceQuotaController</code>所支持的资源类型如下：</p>
<table>
<thead>
<tr>
<th>资源名称</th>
<th>描述信息</th>
</tr>
</thead>
<tbody>
<tr>
<td>cpu</td>
<td>所有非终止状态的 POD 中，其 CPU 需求总量不能超过该值</td>
</tr>
<tr>
<td>limits.cpu</td>
<td>所有非终止状态的 POD 中，其 CPU 限额总量不能超过该值</td>
</tr>
<tr>
<td>memory</td>
<td>所有非终止状态的 POD 中，其内存需求总量不能超过该值</td>
</tr>
<tr>
<td>limits.memory</td>
<td>所有非终止状态的 POD 中，其内存限额总量不能超过该值</td>
</tr>
<tr>
<td>requests.cpu</td>
<td>所有非终止状态的 POD 中，其 CPU 需求总量不能超过该值</td>
</tr>
<tr>
<td>requests.memory</td>
<td>所有非终止状态的 POD 中，其内存需求总量不能超过该值</td>
</tr>
</tbody>
</table>
<p>示例如下：</p>
<div class=highlight><pre style=color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-yaml data-lang=yaml>$ cat &lt;&lt;EOF &gt; compute-resources.yaml
apiVersion: v1
kind: ResourceQuota
metadata:
  name: compute-resources
  namespace: myspace
spec:
  hard:
    requests.cpu: <span style=color:#f1fa8c>"1"</span>
    requests.memory: 1Gi
    limits.cpu: <span style=color:#f1fa8c>"2"</span>
    limits.memory: 2Gi
EOF
$ kubectl create -f compute-resources.yaml</code></pre></div>
<p>然后我们查看下上面我们创建的 <code>ResourceQuota</code>对象：</p>
<div class=highlight><pre style=color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-shell data-lang=shell>$ kubectl describe quota compute-resources -n myspace
Name:            compute-resources
Namespace:       myspace
Resource         Used  Hard
--------         ----  ----
limits.cpu       <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>2</span>
limits.memory    <span style=color:#bd93f9>0</span>     2Gi
requests.cpu     <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>1</span>
requests.memory  <span style=color:#bd93f9>0</span>     1Gi</code></pre></div>
<blockquote>
<p>另外需要注意的是：如果 namespace 下的计算资源 （如 cpu 和 memory）的配额被启用，则用户必须为这些资源设定请求值（request） 和约束值（limit），否则配额系统将拒绝Pod的创建；或者也可以为资源设置默认的资源限制，如下 yaml 文件：（同样需要在<code>--admission-control</code>参数中设置值<strong>LimitRanger</strong>）</p>
</blockquote>
<div class=highlight><pre style=color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-yaml data-lang=yaml>apiVersion: v1
kind: LimitRange
metadata:
  name: limits
spec:
  limits:
  - default:
    cpu: 200m
    memory: 200Mi
  type: Container</code></pre></div>
<h3 id=存储资源配额>存储资源配额</h3>
<p>用户可以对给定 namespace 下的<strong>存储资源</strong>总量进行限制，此外，还可以根据相关的存储类（Storage Class）来限制存储资源的消耗。</p>
<table>
<thead>
<tr>
<th>资源名称</th>
<th>描述信息</th>
</tr>
</thead>
<tbody>
<tr>
<td>requests.storage</td>
<td>所有的 PVC 中，存储资源的需求不能超过该值</td>
</tr>
<tr>
<td>persistentvolumecliaims</td>
<td>namespace 中所允许的 PVC 总量</td>
</tr>
<tr>
<td><storage-class-name>.storageclass.storage.k8s.io/requests.storage</storage-class-name></td>
<td>所有该 storage-class-name 相关的 PVC 中， 存储资源的需求不能超过该值</td>
</tr>
<tr>
<td><storage-class-name>.storageclass.storage.k8s.io/persistentvolumeclaims</storage-class-name></td>
<td>namespace 中所允许的该 storage-class-name 相关的 PVC 的总量</td>
</tr>
</tbody>
</table>
<h3 id=对象数量配额>对象数量配额</h3>
<p>给定类型的对象数量可以被限制。 支持以下类型：</p>
<table>
<thead>
<tr>
<th>资源名称</th>
<th>描述信息</th>
</tr>
</thead>
<tbody>
<tr>
<td>configmaps</td>
<td>namespace 下允许存在的 configmap 的数量</td>
</tr>
<tr>
<td>persistentvolumeclaims</td>
<td>namespace 下允许存在的 PVC 的数量</td>
</tr>
<tr>
<td>pods</td>
<td>namespace 下允许存在的非终止状态的 POD 数量，如果 POD 的 status.phase 为 Failed 或 Succeeded，那么其处于终止状态</td>
</tr>
<tr>
<td>replicationcontrollers</td>
<td>namespace 下允许存在的 replication controllers 的数量</td>
</tr>
<tr>
<td>resourcequotas</td>
<td>namespace 下允许存在的 resource quotas 的数量</td>
</tr>
<tr>
<td>services</td>
<td>namespace 下允许存在的service的数量</td>
</tr>
<tr>
<td>services.loadbalancers</td>
<td>namespace 下允许存在的 load balancer 类型的 service 的数量</td>
</tr>
<tr>
<td>services.nodeports</td>
<td>namespace 下允许存在的 node port 类型的 service 的数量</td>
</tr>
<tr>
<td>secrets</td>
<td>namespace 下允许存在的 secret 的数量</td>
</tr>
</tbody>
</table>
<p>如下示例：</p>
<div class=highlight><pre style=color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-yaml data-lang=yaml>$ cat &lt;&lt;EOF &gt; object-counts.yaml
apiVersion: v1
kind: ResourceQuota
metadata:
  name: object-counts
  namespace: myspace
spec:
  hard:
    pods: <span style=color:#f1fa8c>"40"</span>
    configmaps: <span style=color:#f1fa8c>"10"</span>
    replicationcontrollers: <span style=color:#f1fa8c>"20"</span>
    secrets: <span style=color:#f1fa8c>"10"</span>
    services: <span style=color:#f1fa8c>"10"</span>
    services.nodeports: <span style=color:#f1fa8c>"2"</span>
EOF
$ kubectl create -f object-counts.yaml</code></pre></div>
<p>同样可以查看上面创建的资源限额对象：</p>
<div class=highlight><pre style=color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-shell data-lang=shell>$ kubectl describe quota object-counts -n myspace
Name:                   object-counts
Namespace:              myspace
Resource                Used  Hard
--------                ----  ----
configmaps              <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>10</span>
pods                    <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>40</span>
replicationcontrollers  <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>20</span>
secrets                 <span style=color:#bd93f9>1</span>     <span style=color:#bd93f9>10</span>
services                <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>10</span>
services.nodeports      <span style=color:#bd93f9>0</span>     <span style=color:#bd93f9>2</span></code></pre></div>
<h3 id=配额作用域>配额作用域</h3>
<p>每个配额都有一组相关的作用域（scope），配额只会对作用域内的资源生效。当一个作用域被添加到配额中后，它会对作用域相关的资源数量作限制。 如配额中指定了允许（作用域）集合之外的资源，会导致验证错误。</p>
<table>
<thead>
<tr>
<th>作用域</th>
<th>描述</th>
</tr>
</thead>
<tbody>
<tr>
<td>Terminating</td>
<td>匹配 spec.activeDeadlineSeconds &gt;= 0 的 POD</td>
</tr>
<tr>
<td>NotTerminating</td>
<td>匹配 spec.activeDeadlineSeconds is nil 的 POD</td>
</tr>
<tr>
<td>BestEffort</td>
<td>匹配<code>尽力而为（best effort)</code>服务类型的 POD</td>
</tr>
<tr>
<td>NotBestEffort</td>
<td>匹配非<code>尽力而为（best effort)</code>服务类型的 POD</td>
</tr>
</tbody>
</table>
<p>其中<code>BestEffort</code> 作用域限制配额跟踪以下资源： PODS</p>
<p><code>Terminating</code>、 <code>NotTerminating</code> 和 <code>NotBestEffort</code>限制配额跟踪以下资源：cpu、limits.cpu、limits.memory、memory、pods、requests.cpu、requests.memory。</p>
<h2 id=总结>总结</h2>
<p>物理资源 CPU 和内存受到 namespace 资源配额管理器的控制，几乎所有使用到的资源都能够被简单的调整，我们可以结合我们自身的业务和物理资源实际情况来进行分配配额，所以这里没有一个完全通用的配额方案，需要根据实际情况来定，因为只有你自己最清楚你的集群的整体情况了。</p>
<h2 id=参考资料>参考资料</h2>
<ul>
<li><a href=https://kubernetes.io/docs/tasks/administer-cluster/quota-memory-cpu-namespace/>https://kubernetes.io/docs/tasks/administer-cluster/quota-memory-cpu-namespace/</a></li>
<li><a href=https://kubernetes.io/docs/tasks/administer-cluster/quota-api-object/>https://kubernetes.io/docs/tasks/administer-cluster/quota-api-object/</a></li>
</ul>
<p>欢迎大家加入我们的知识星球：<code>Kubernetes</code>。
</p>
<p><a href=https://www.qikqiak.com/post/promotion-51 title="从 Docker 到 Kubernetes 进阶课程"></a></p>
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